中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
海洋研究所 [4]
采集方式
OAI收割 [4]
内容类型
期刊论文 [4]
发表日期
2025 [1]
2024 [2]
2023 [1]
学科主题
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Recognizing the function of different silane coupling agents on MXene adsorption/barrier behavior in solvent-borne epoxy coatings: Experimental studies, density functional theory, and molecular dynamics simulations (vol 192, 108453, 2024)
期刊论文
OAI收割
PROGRESS IN ORGANIC COATINGS, 2025, 卷号: 204, 页码: 2
作者:
Pourhashem, Sepideh
;
Hadizadeh, Mohammad Hassan
;
Ji, Xiaohong
;
Zhou, Ziyang
;
Duan, Jizhou
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/07/11
Recognizing the function of different silane coupling agents on MXene adsorption/barrier behavior in solvent-borne epoxy coatings: Experimental studies, density functional theory, and molecular dynamics simulations
期刊论文
OAI收割
PROGRESS IN ORGANIC COATINGS, 2024, 卷号: 192, 页码: 15
作者:
Pourhashem, Sepideh
;
Hadizadeh, Mohammad Hassan
;
Ji, Xiaohong
;
Zhou, Ziyang
;
Duan, Jizhou
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/08/29
Amino-silane functionalized MXene
Nano-SiO2 decorated MXene
Corrosion resistance
Epoxy coating
Density functional theory/molecular dynamics
simulations
Theoretical and experimental investigations about the role of MXene nanosheets covered with ZnO quantum dots on barrier resistance of epoxy coatings
期刊论文
OAI收割
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2024, 卷号: 12, 期号: 1, 页码: 15
作者:
Pourhashem, Sepideh
;
Seif, Abdolvahab
;
Zhou, Ziyang
;
Ji, Xiaohong
;
Sgroi, Mauro Francesco
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2024/04/07
Hybrid of MXene@ZnO QDs
Silane functionalization
Epoxy coating
Corrosion resistance
DFT studies
Investigation of triazole derivatives as corrosion inhibitors on Q235 steel in NaCl solution: Experimental and theoretical studies
期刊论文
OAI收割
COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS, 2023, 卷号: 674, 页码: 14
作者:
Lu, Hao
;
Ji, Xiaohong
;
Ci, Xiaojing
;
Zhu, Haoyuan
;
Wang, Qingfu
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/12/13
Q235 steel
Corrosion inhibitors
Triazole derivatives
DFT